Results 231 to 240 of about 901,615 (325)
Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes
Advanced Materials, EarlyView.Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti +11 more
wiley +1 more source
Principal Component Analysis Enhanced with Bootstrapped Confidence Interval for the Classification of Parkinsonian Patients Using Gaussian Mixture Model and Gait Initiation Parameters. [PDF]
Sensors (Basel)Loete F +4 more
europepmc +1 more source
All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security
Advanced Materials, EarlyView.An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak +4 more
wiley +1 more source
Analog Control of Reconfigurable GHz Resonances from Chiral Spin Texture Ensembles
Advanced Materials, EarlyView.Tunable microwave components ‐ essential for wireless technology ‐ typically require costly, customized nanofabrication. We show that ambient spin texture ensembles (e.g., magnetic skyrmions) in chiral multilayer films can enable reconfigurable microwave resonators.
T. S. Suraj +9 more
wiley +1 more source
Human-in-the-Loop-A Deep Learning Strategy in Combination with a Patient-Specific Gaussian Mixture Model Leads to the Fast Characterization of Volumetric Ground-Glass Opacity and Consolidation in the Computed Tomography Scans of COVID-19 Patients. [PDF]
J Clin MedVásquez-Venegas C +6 more
europepmc +1 more source
Generative Models for Crystalline Materials
Advanced Materials, EarlyView.Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni +15 more
wiley +1 more source
Advanced Materials, EarlyView.As‐spun carbon materials produced from Lignosulfonate, gelatin, and alginate, selected for water solubility, and ability to produce templated sustainable carbon nanostructures. Gelatin and alginate are sacrificial during thermal processing, allowing the production of engineered high surface area nanostructures, which are further characterized for ...
Judith Miralda‐Jalle +6 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView.Interfacial charge transfer and low‐resistance interphase formation between PEO‐based polymer and Li10GeP2S12 solid electrolytes are investigated using multi‐electrode impedance spectroscopy and advanced analytical techniques such as XPS and ToF‐SIMS.
Ujjawal Sigar +6 more
wiley +1 more source